Check health professions papers: citations, claims and retractions

Effect of nurse-led program on the exercise behavior of coronary artery patients: Pender's Health Promotion Model

Karataş, T., & Polat, Ü. (2021) · Patient Education and Counseling

Health and Wellbeing ResearchCardiac Health and Mental Health

Cited by 32

Psychotherapeutic interventions for chronic pain: Evidence, rationale, and advantages

Majeed, M. H., Ali, A. A., & Sudak, D. M. (2019) · The International Journal of Psychiatry in Medicine

Musculoskeletal pain and rehabilitationOpioid Use Disorder Treatment

Cited by 32

Aspects of the relationship between doctors and depressed patients that enhance satisfaction with primary care

NOLAN, P., & BADGER, F. (2005) · Journal of Psychiatric and Mental Health Nursing

Patient-Provider Communication in HealthcareMental Health Treatment and Access

Cited by 32

Using qualitative research to explore intervention mechanisms: findings from the trial of the Learning Together whole-school health intervention

Warren, E., Melendez-Torres, G. J., Viner, R., & Bonell, C. (2020) · Trials

Health Policy Implementation ScienceSchool Health and Nursing Education

Cited by 32

A decade of designing and implementing electronic health records in Sub-Saharan Africa: a scoping review

Mugauri, H. D., Chimsimbe, M., Shambira, G., Shamhu, S., Nyamasve, J., Munyanyi, M., Gongora, R., Zizhou, S., Gabida, M., & Makurumidze, R. (2025) · Global Health Action

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 32

Ask PCOS: identifying need to inform evidence-based app development for polycystic ovary syndrome

Xu, R., Gilbert, E., Kuczynska-Burggraf, M., Tan, B., Teede, H., Vincent, A., Gibson-Helm, M., & Boyle, J. (2018) · Seminars in Reproductive Medicine

Mobile Health and mHealth ApplicationsOvarian function and disorders

Cited by 32

Normative Values of Muscle Power using Force Plate Jump Tests in Men Aged 77–101 Years: The Osteoporotic Fractures in Men (MrOS) Study

Strotmeyer, E. S., Winger, M. E., Cauley, J. A., Boudreau, R. M., Cusick, D., Collins, R. F., Chalhoub, D., Buehring, B., Orwoll, E., Harris, T. B., et al. (2018) · The Journal of nutrition, health and aging

Balance, Gait, and Falls PreventionNutrition and Health in Aging

Cited by 32

Realist review of interprofessional education for health care students: What works for whom and why

Maddock, B., Dārziņš, P., & Kent, F. (2023) · Journal of Interprofessional Care

Interprofessional Education and CollaborationInnovations in Medical Education

Cited by 32

Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research

Lewis, T. L., Boissaud-Cooke, M. A., Aungst, T. D., & Eysenbach, G. (2014) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 32

Impact of Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload

Richardson, K. M., Fouquet, S. D., Kerns, E., & McCulloh, R. J. (2019) · Academic Pediatrics

Electronic Health Records SystemsClinical Reasoning and Diagnostic Skills

Cited by 32

Issues with the Swedish e-prescribing system—an analysis of health information technology-related incident reports using an existing classification system

Rahman Jabin, M. S., & Hammar, T. (2022) · DIGITAL HEALTH

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 32

Feasibility and acceptance of electronic quality of life assessment in general practice: an implementation study

Rogausch, A., Sigle, J., Seibert, A., Thüring, S., Kochen, M. M., & Himmel, W. (2009) · Health and Quality of Life Outcomes

Electronic Health Records SystemsHealth Systems, Economic Evaluations, Quality of Life

Cited by 32

The painful truth: The documentation burden of a trauma surgeon

Golob, J. F., Como, J. J., & Claridge, J. A. (2016) · Journal of Trauma and Acute Care Surgery

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 32

Machine learning approaches for biomarker discovery to predict large-artery atherosclerosis

Sun, T.-H., Wang, C.-C., Wu, Y.-L., Hsu, K.-C., & Lee, T.-H. (2023) · Scientific Reports

Artificial Intelligence in HealthcareMetabolomics and Mass Spectrometry Studies

Cited by 32

Advancing the adoption, integration and testing of technological advancements within existing care systems

Druss, B. G., & Dimitropoulos, L. (2013) · General Hospital Psychiatry

Electronic Health Records SystemsTelemedicine and Telehealth Implementation

Cited by 32

Differences in Transversus Abdominis Muscle Function between Chronic Low Back Pain Patients and Healthy Subjects at Maximum Expiration: Measurement with Real-time Ultrasonography

Kim, K. H., Cho, S.-H., Goo, B.-O., & Baek, I.-H. (2013) · Journal of Physical Therapy Science

Musculoskeletal pain and rehabilitationMuscle activation and electromyography studies

Cited by 32

A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR)

Arden-Close, E. J., Smith, E., Bradbury, K., Morrison, L., Dennison, L., Michaelides, D., & Yardley, L. (2015) · JMIR Human Factors

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 32

A dynamic fuzzy rule-based inference system using fuzzy inference with semantic reasoning

Shoaip, N., El-Sappagh, S., Abuhmed, T., & Elmogy, M. (2024) · Scientific Reports

Artificial Intelligence in HealthcareFuzzy Logic and Control Systems

Cited by 32

Chronic pain acceptance incrementally predicts disability in polytrauma-exposed veterans at baseline and 1-year follow-up

Cook, A. J., Meyer, E. C., Evans, L. D., Vowles, K. E., Klocek, J. W., Kimbrel, N. A., Gulliver, S. B., & Morissette, S. B. (2015) · Behaviour Research and Therapy

Musculoskeletal pain and rehabilitationPosttraumatic Stress Disorder Research

Cited by 31

Content and Functionality of Alcohol and Other Drug Websites: Results of an Online Survey

Klein, B., White, A., Kavanagh, D., Shandley, K., Kay-Lambkin, F., Proudfoot, J., Drennan, J., Connor, J., Baker, A., & Young, R. (2010) · Journal of Medical Internet Research

Health Literacy and Information AccessibilitySubstance Abuse Treatment and Outcomes

Cited by 31

Medical Device Regulation Efforts for mHealth Apps during the COVID-19 Pandemic—An Experience Report of Corona Check and Corona Health

Holfelder, M., Mulansky, L., Schlee, W., Baumeister, H., Schobel, J., Greger, H., Hoff, A., & Pryss, R. (2021) · J

Mobile Health and mHealth ApplicationsHealthcare Regulation

Cited by 31

The impact of electronic medical records data sources on an adverse drug event quality measure

Kahn, M. G., & Ranade, D. (2010) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 31

Information and Communication Technologies to Support Chronic Disease Self-Management: Preconditions for Enhancing the Partnership in Person-Centered Care

Wildevuur, S., Thomese, F., Ferguson, J., & Klink, A. (2017) · Journal of Participatory Medicine

Mobile Health and mHealth ApplicationsHealth Literacy and Information Accessibility

Cited by 31

Effects of whole blood storage on hemoglobin a1c measurements with five current assay methods

Rohlfing, C. L., Hanson, S., Tennill, A. L., & Little, R. R. (2012) · Diabetes Technology & Therapeutics

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 31